This reserch categorizes the workplace recipient into selection criteria and studies the difference of demographic characteristics, counseling usage characteristics, job burnout, and differentiation of counseling behavior according to the subtype criteria. The survey has been collected 398 employee's responses who have no experience in counseling, who belong to the companies deploying counseling program and the companies are located in Seoul and Kyunggi area. As a result of the cluster analysis, the group was divided into "People-Product Oriented Type", "People-Product-Place Oriented Type", "People-Product-Process of service assembly Oriented Type". Subtype differentiates demographic characteristic and counseling usage characteristic and it convinces that junior employees belong to "People-Product Oriented Type" and senior employees belong to "People-Product-Place Oriented Type" and "People-Product-Process of service assembly Oriented Type". "People-Product-Process of service assembly Oriented Type" is the cluster who takes counseling services most likely if the counseling requirements are raised. Each subtype shows the differentiation of job burnout and "People-Product Oriented Type" is more exposed in job burnout among the subtypes which required urgent counseling assistance. This research is meaningful to take differentiated marketing strategies in subtype basis by considering workplace counseling service selection and recipient characteristics. Furthermore, it discusses the meaning of this research and the proposal for the further investigation.
Journal of Korean Society of Occupational and Environmental Hygiene
/
v.25
no.2
/
pp.220-228
/
2015
Objectives: The purpose of this study was to investigate estheticians' self-reported pain symptoms and pain levels according to the parts of the hand. Methods: Data were collected through a questionnaire survey among 116 estheticians from 31 skin care centers and spas. Information about general characteristics, job characteristics and work characteristics were based on data from the self-administered questionnaire. To determine the self-reported pain symptoms and pain levels according to the parts of the hand, a Cornell Musculoskeletal Discomfort Questionnaire was used. Results: The subjects had the greatest self-reported pain symptoms in the thumb(Right: 53.4%, Left: 46.6%) and felt the highest level of pain in the wrist(Right: 4.87 points, Left: 4.71 points). Physical burdens and age had statistically significant effects on the pain level in the right hand, while physical burdens and the manager rather than the director had statistically significant effects on the pain level in the left hand. Conclusions: Since the thumb and wrist have the greatest subjective pain symptoms in the hand, the use of proper tools is recommended in order to reduce the usage of the thumbs during massage, as is regular stretching to protect the wrists.
Limited resources for construction material in the Mae-Hae region, a remote Northern Thailand, acted as an impetus to introduce a new way for constructing their dwellings. The new construction material brought new construction methodology, namely, using earth and bamboo which are indigenous materials, readily available for them to use. Using indigenous material at Mae-Hae region was most ecological and logical method for establishing sustainable dwellings both in terms of monetary and ecological reasons. Prior to the construction at Mae-Hae, Thailand, series of experimental tests on the strength of rammed earth were performed off site at our university and also brought soil samples from the actual job site at Mae-Hae for detailed soil analysis. Through the tests, integrity of the earth and characteristics of the soil were established to build a small senior citizen center as an example. This appropriate technology is expected to contribute to the sustainable construction at Mae-Hae.
The Journal of the Korea institute of electronic communication sciences
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v.14
no.2
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pp.397-404
/
2019
This study developed the ICT curriculum focusing on apartment security guards and analyzed the actual application results. We developed the educational contents and it designed ICT job courseware for elder education by considering and that designed in consideration of the computer attitudes and physical and cognitive characteristics of the elderly. The educational program was applied to the experimental group and the satisfaction and the educational effect were analyzed through the pre and post test results. As a result of the analysis, the satisfaction level of the education program was higher than the average of 4.00 points. The elderly informal education program was examined by using the qualitative assessment test tool before and after the application of the education program. Internet self-efficacy of experiment group, improvement of internet utilization ability, usage of internet use, personal information willingness, life correction, elimination of conflict among generations, self-confidence, and internet stress increased statistically significantly. These results suggest that the "Private Expense ICT Job Training" program developed in this study can be effective for elderly informatization and can be applied to other elderly education programs and contribute to promotion.
Wireless sensor networks are usually characterized by dense deployment of energy constrained nodes. Due to the usage of a large number of sensor nodes in uncontrolled hostile or harsh environments, node failure is a common event in these systems. Another common reason for node failure is the exhaustion of their energy resources and node inactivation. Such failures can have adverse effects on the quality of the real-time services in Wireless Sensor Networks (WSNs). To avoid such degradations, it is necessary that the failures be recovered in a proper manner to sustain network operation. In this paper we present a dynamic Energy efficient Real-Time Job Allocation (ERTJA) algorithm for handling node failures in a cluster of sensor nodes with the consideration of communication energy and time overheads besides the nodes' characteristics. ERTJA relies on the computation power of cluster members for handling a node failure. It also tries to minimize the energy consumption of the cluster by minimum activation of the sleeping nodes. The resulting system can then guarantee the Quality of Service (QoS) of the cluster application. Further, when the number of sleeping nodes is limited, the proposed algorithm uses the idle times of the active nodes to engage a graceful QoS degradation in the cluster. Simulation results show significant performance improvements of ERTJA in terms of the energy conservation and the probability of meeting deadlines compared with the other studied algorithms.
The purpose of this study was to examine the current situation about the internet usage and advertisement attitude, to investigate the relationship between consumer characteristics and internet advertising effect, and to identify the moderating effect of consumer characteristics on the relationship between advertising types and advertising effects. For the study, a sample of 152 apparel consumers participated in this survey research. The survey of design with a questionnaire was employed. Questionnaire was developed with the html language and data collection was done at Korea though the internet on October 2000. For data analysis, descriptive statistics (i.e., frequency, percent), ANOVA with duncan tests were used. First, the major place of using internet was found as home, company, school, PC room in order and the average time of using internet was found as three times weekly. The major purpose of using internet were information search, e-mail, PC communication and program-download. The experience of internet fashion advertising was high. Second, consumer characteristics(age, job) had significant effects on attitude to the product. 20 years-old age group and specialist group were found to influence on the higher attitude toward product. Third, main effects of consumer characteristics(age, job) were found to be significant. The correlation and interaction effects of consumer characteristics and internet advertisement types were not significant.
Fire service personnel and ambulance paramedics suffer musculoskeletal disorders as they lift and carry patients while performing Emergency Medical Services (EMS). The objective of the current study was performed to examine the association between working environment and musculoskeletal disorders of 119 paramedics and to analysis the EMS activities for them through basic survey (including task characteristics, risk factors, symptoms and illnesses). Observational job analysis of EMS activities indicated the squatting posture during first-aid performed on floor and the abrupt use of force during carrying heavy load including stretcher with patients on as hazard factors, and excessive low back twisting and bending during stairway transfer was observed. In addition, work-physiological assessment revealed various but rather high lumbar muscle usage rate among the study subjects, being 14.6~32.8% compared with Maximum Voluntary Contraction (MVC) during patients transfer work. Resting heart rate showed 65/min, on the other hand, heart rate on mobilization indicated maximum 124~156/min. Therefore, the results of analysis to the EMS activities, rescuer activities and medical tasks were accompanied with high possibility of accident and musculoskeletal disorders. Also, EMS activities indicated high muscle fatigue and energy consumption, and accumulated muscle fatigue with during continued work.
Han, Sang-Cheon;Lee, Kyung-Chul;Kim, Hwan-Yong;Choi, Young Woo
Journal of KIBIM
/
v.9
no.4
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pp.75-83
/
2019
Recent data development has made it possible to analyze each individual's daily commuting by using transportation card transaction. This research utilizes about 1 million observations from the subway line no.7 of Seoul metropolitan transportation data. By using such a massive dataset, the authors try to identify daily travel behavior of morning commute and its possible relationship between subway usage and socio-economic factors. There are 4 main types of users and their travel behavior, and top 15 stations with the most users for arrival and departure are selected. Accordingly, 15 stations have distinctive characteristics including population density and the number of businesses around stations. To identify this fact, the 4 most populated stations are selected and their socio-economic factors are examined. According to the analysis, the most departure stations are generally surrounded by hihgly populated residential areas, whereas the most arrival stations are stood within the job concentrated districts.
Journal of Korean Society of Occupational and Environmental Hygiene
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v.33
no.2
/
pp.156-170
/
2023
Objectives: This study conducted practical training to improve the proper usage of personal protective equipment(PPE), which greatly impacts workplace safety and health management. Personal protective equipment education was conducted through active participation, without theoretical modules, and aimed to identify the effects of repeated practical education and determine ways to increase participant satisfaction. Methods: Study data were analyzed using the IBM SPSS Statistics ver.29 software. First, participants' general characteristics were analyzed with frequency analysis. Second, the normality and equality of variances (Leven's test) were tested for the dependent variables prior to statistical analyses to determine the use of parametric tests. In general, normality is assumed when the sample size is 30 or more per the central limit theorem (Park et al., 2014). As our sample size of health management workers was 43, normality can be assumed. However, to ensure rigor of the study, we examined skewness and kurtosis. The results confirmed that the data were normally distributed. Third, the effects of repeated PPE training were analyzed using paired t-tests. Fourth, differences in satisfaction with PPE training according to the safety and health job position and safety and health certification were analyzed with t-test and Welch's t-test. For parameters that did not meet the assumption of equal variances, the Welch's t-test was performed. Results: Repeated PPE training improved the educational outcomes, and the improvements were significant in the 1st and 2nd respiratory PPE and safety and hygiene PPE training evaluations (p<.001). In terms of safety and health job position, repeated training led to improvements in educational outcomes, with significant improvements observed among supervisors and specialized health management institution workers in the 1st and 2nd training evaluations (p<.005). In terms of safety certification, repeated training led to improvements in educational outcomes, with significant improvements observed among both certified and non-certified individuals (p<.005). Regarding satisfaction with PPE training according to safety and health job positions, specialized health management institution workers showed greater satisfaction than supervisors, with significant differences in the satisfaction for expertise of lecture, work relevance, and lecturer's attitude (p<.001). Regarding satisfaction with PPE training according to safety and health certification, satisfaction was higher among certified individuals, with significant differences in satisfaction for work relevance and lecture attitude (p<.05) Conclusions: PPE education should be recommended to be provided as practical training. Repeated training can enhance educational outcomes for individuals with inadequate knowledge and understanding of PPE prior to education. For individuals with high levels of pre-existing knowledge and understanding of PPE, the results show that various training experiences should be provided to enhance their satisfaction. Therefore, it suggests that the workplace should actively seek educational media and methods to acquire expertise and skills in wearing personal protective equipment and improve the ability to use
Journal of Korean Society of Occupational and Environmental Hygiene
/
v.24
no.2
/
pp.219-228
/
2014
Objectives: The major objective of this study was to develop a tier 2 exposure model combining tier 1 exposure model estimates and worker monitoring data and suggesting narrower exposure ranges than tier 1 results. Methods: Bayesian statistics were used to develop a tier 2 exposure model as was done for the European Union (EU) tier 2 exposure models, for example Advanced REACH Tools (ART) and Stoffenmanager. Bayesian statistics required a prior and data to calculate the posterior results. In this model, tier 1 estimated serving as a prior and worker exposure monitoring data at the worksite of interest were entered as data. The calculation of Bayesian statistics requires integration over a range, which were performed using a Riemann sum algorithm. From the calculated exposure estimates, 95% range was extracted. These algorithm have been realized on Excel spreadsheet for convenience and easy access. Some fail-proof features such as locking the spreadsheet were added in order to prevent errors or miscalculations derived from careless usage of the file. Results: The tier 2 exposure model was successfully built on a separate Excel spreadsheet in the same file containing tier 1 exposure model. To utilize the model, exposure range needs to be estimated from tier 1 model and worker monitoring data, at least one input are required. Conclusions: The developed tier 2 exposure model can help industrial hygienists obtain a narrow range of worker exposure level to a chemical by reflecting a certain set of job characteristics.
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